TY - JOUR
T1 - Dimensions of AI de-anthropomorphization based on impression integration theory
AU - Li, Jian
AU - Huang, Jinsong
AU - Ni, Boyuan
N1 - Publisher Copyright:
© 2026 Elsevier Ltd.
PY - 2026/8
Y1 - 2026/8
N2 - As artificial intelligence (AI) becomes increasingly anthropomorphized and integrated into the cognitive, emotional, and social domains of human life, a paradox emerges: despite its human-like design and interactional capabilities, users often deny its human-like qualities, a process we refer to as AI de-anthropomorphization. Drawing on impression integration theory, we conceptualize AI de-anthropomorphization along three core dimensions, cognitive, emotional, and relational, each comprising three specific subdimensions. Based on survey data, we identify a nine-factor structure that captures AI de-anthropomorphization, reflected in users' perceptions of AI as lacking rational thought, emotional depth, and social understanding. We further show that de-anthropomorphization is triggered by AI identity recognition and, in turn, shapes users’ attitudes toward AI. Theoretically, this study positions AI de-anthropomorphization as a central lens for understanding human–AI distinctions in contexts of increasing anthropomorphism. By showing that AI can be perceived as human-like and subsequently de-anthropomorphized, this research offers a novel typology and lays the foundation for future work on how such perceptions shape user behavior and evaluations in AI-related contexts.
AB - As artificial intelligence (AI) becomes increasingly anthropomorphized and integrated into the cognitive, emotional, and social domains of human life, a paradox emerges: despite its human-like design and interactional capabilities, users often deny its human-like qualities, a process we refer to as AI de-anthropomorphization. Drawing on impression integration theory, we conceptualize AI de-anthropomorphization along three core dimensions, cognitive, emotional, and relational, each comprising three specific subdimensions. Based on survey data, we identify a nine-factor structure that captures AI de-anthropomorphization, reflected in users' perceptions of AI as lacking rational thought, emotional depth, and social understanding. We further show that de-anthropomorphization is triggered by AI identity recognition and, in turn, shapes users’ attitudes toward AI. Theoretically, this study positions AI de-anthropomorphization as a central lens for understanding human–AI distinctions in contexts of increasing anthropomorphism. By showing that AI can be perceived as human-like and subsequently de-anthropomorphized, this research offers a novel typology and lays the foundation for future work on how such perceptions shape user behavior and evaluations in AI-related contexts.
KW - AI anthropomorphism
KW - AI de-anthropomorphization
KW - Artificial intelligence
KW - Impression integration theory
UR - https://www.scopus.com/pages/publications/105035409921
U2 - 10.1016/j.techsoc.2026.103352
DO - 10.1016/j.techsoc.2026.103352
M3 - 文章
AN - SCOPUS:105035409921
SN - 0160-791X
VL - 87
JO - Technology in Society
JF - Technology in Society
M1 - 103352
ER -